Esa Alhoniemi
- Artificial Intelligence top 1%
- Neural Networks and Applications 10
- Bayesian Methods and Mixture Models 4
- Signal Processing top 2%
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- Medical Image Segmentation Techniques 3
- Environmental Engineering top 5%
- Water Science and Technology top 5%
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- Fault Detection and Control Systems 4
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- Gene expression and cancer classification 3
- Biomedical Text Mining and Ontologies 2
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- Assembly Line Balancing Optimization 2
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- Mineral Processing and Grinding 2
Esa Alhoniemi
26 papers receiving 2.7k citations
Hit Papers
Peers
Comparison fields: 5 of 175
- Artificial Intelligence 1.1k
- Signal Processing 274
- Computer Vision and Pattern Recognition 479
- Environmental Engineering 283
- Water Science and Technology 219
Countries citing papers authored by Esa Alhoniemi
This map shows the geographic impact of Esa Alhoniemi's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Esa Alhoniemi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Esa Alhoniemi more than expected).
Fields of papers citing papers by Esa Alhoniemi
This network shows the impact of papers produced by Esa Alhoniemi. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Esa Alhoniemi. The network helps show where Esa Alhoniemi may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Esa Alhoniemi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 18 | |
| 2 | 2009 | 17 | |
| 3 | 2008 | 4 | |
| 4 | Agglomerative Independent Variable Group Analysis. | 2007 | 1 |
| 5 | Nonlinear temporal and spatial forecasting: modeling and uncertainty analysis (NoTeS) - MASIT20 | 2007 | 2 |
| 6 | 2007 | 6 | |
| 7 | 2006 | 1 | |
| 8 | Independent Variable Group Analysis in Learning Compact Representations for Data | 2005 | 6 |
| 9 | Unsupervised pattern recognition methods for exploratory analysis of industrial process data | 2002 | 9 |
| 10 | State Management for Process Monitoring, Diagnostics and Optimization | 2002 | 0 |
| 11 | Models from data Analysis of Industrial Processes and Telecommunication Systems | 2001 | 2 |
| 12 | Interpretation and Comparison of Multidimensional Data Partitions | 2001 | 1 |
| 13 | Analysis of pulping data using the self-organizing map | 2000 | 10 |
| 14 | Clustering of the self-organizing mapbreakdown → | 2000 | 1830 |
| 15 | SOM Toolbox for Matlab 5 | 2000 | 470 |
| 16 | Self-Organizing Map for Data Mining in MATLAB: The SOM Toolbox | 1999 | 59 |
| 17 | Self-organizing map in Matlab: the SOM Toolbox | 1999 | 348 |
| 18 | Analysis and Modeling of Complex Systems Using the Self-Organizing Map | 1999 | 19 |
| 19 | Analysis of Complex Systems Using the Self-Organizing Map | 1997 | 8 |
| 20 | Monitoring and Modeling of Complex Processes Using the Self-Organizing Map | 1996 | 3 |
About Esa Alhoniemi
Esa Alhoniemi is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Analytical Chemistry, having authored 27 papers that have together received 3.0k indexed citations. Recurring topics across this work include Neural Networks and Applications (10 papers), Bayesian Methods and Mixture Models (4 papers), Fault Detection and Control Systems (4 papers), Medical Image Segmentation Techniques (3 papers), Gene expression and cancer classification (3 papers), Biomedical Text Mining and Ontologies (2 papers), Assembly Line Balancing Optimization (2 papers) and Mineral Processing and Grinding (2 papers). The work is most often cited by research in Artificial Intelligence (1.1k citations), Signal Processing (274 citations) and Computer Vision and Pattern Recognition (479 citations). Esa Alhoniemi has collaborated with scholars based in Finland and Pakistan. Frequent co-authors include Juha Vesanto, Johan Himberg, Olli Simula, Jaakko Hollmén, K. Kiviluoto, Olli Nevalainen, Timo Knuutila, Mika Johnsson, Antti Honkela and Juha Ahola. Their work appears in journals such as International Journal of Production Research, Neurocomputing and The International Journal of Advanced Manufacturing Technology.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.